I've started to watch alot of interviews with the CEO of Tesla and I have to admit AI worries me a bit. Especially since I know what it could do within the DOD. The rate at which software can "learn" would make humans obsolete within a few short years. Maybe I'm just paranoid.

The primary risk with using AI and learning algorithms is that developers and their employers tend to falsely assume the damned things are actually "smart" enough to do what they are programmed to do, all while hiding serious failure statistics from their customers.

Wada will launch a call for pilot artificial intelligence projects in the coming weeks, as it intensifies attempts to use the technology.

The organisation believe that artificial intelligence can be used to identify suspicious athletes, raise red flags and improve how testing is targeted.

Under the plans for how to use the technology, if an athlete was flagged by artificial intelligence, it would trigger immediate additional targeted testing.

Patterns

Wada intend to use artificial intelligence to identify patterns in the vast amounts of data that anti-doping bodies already collect. The technology would be able to analyse the data virtually instantly.

This could then lead to investigations being better-targeted and ensure that athletes under suspicion by artificial intelligence undergone the appropriate drug-testing.

It is understood that Wada are already conducting research programs on how artificial intelligence testing could be introduced most effectively.

Data

“There’s a lot of data that is being collected in anti-doping – whether it is through the [athlete biological] passports, through the tests, through the results of the athletes,” Niggli said. “If you manage to create a system that will meaningfully use this data I think you can create some very powerful tools.”

Wada has long believed that its attempts to quell doping are undermined by the organisation’s lack of financial and human resources.

Artificial intelligence could be used to apply algorithms to identify suspicious patterns among athletes, automatically raising red flags.

Alerts

While these flags would not be sufficient for athletes to face disciplinary procedures – alone, they would not constitute conclusive proof of doping – the alerts would lead to athletes under suspicion facing subsequent testing.

Wada believe that artificial intelligence could not only sift through the doping data far more quickly than human analysts are able to, but that may also be able to do so in more sophisticated ways.

“Only sophisticated algorithms would be able to spot the differences, which would allow the anti-doping organisations to focus on the right individuals,” Niggli added.

Intelligence

“Anti-doping organisations would potentially get a lot of intelligence by being able to analyse a lot of this data and immediately spotting anomalies which are signs of maybe doping.”

Providing the pilot programmes go as planned, Wada hope it will give them a crucial advantage in catching the ever-more sophisticated methods used by dopers.

“I hope that in five years we will be much better at analysing all this data that we already have and are already collected,” Niggli said. “It’s a complex world which requires complex answers.”

Will robots and AI cause mass unemployment? Not necessarily, but they do bring other threats

13 September 2017 -- With the rapid technological advancement of recent years, computers are increasingly encroaching on domains that were previously considered exclusively human. The astonishing progress in such areas as artificial intelligence (AI), robotics, 3D printing and genetics has enabled computers to perform the tasks of architects, medical doctors, music composers and even a 16th century Dutch master of painting.

Nearly every day brings news of remarkable feats achieved by computers or robots, and with them a gnawing question: Will machines edge us out of brain jobs?

[...]

It is easy to see why new technologies are increasingly viewed as a major threat to labour markets. Some estimates even claim that a staggering 80 per cent of jobs run the risk of being automated in the coming decades.

The Impact of the Technological Revolution on Labour Markets and Income Distribution

Artificial intelligence and other technologies will define the future of jobs and incomes

Technology has had an undeniable impact on improving living standards and increasing productivity. But how will advanced technologies, such as artificial intelligence, affect jobs and wages? What will this mean for the distribution of the gains made possible by continued progress?

[...]

Just as these new technologies hold immense promise, there are concerns that technological innovation will lead to increased unemployment, suppressed wages and greater inequality. There are fears that machines enabled by artificial intelligence will replace many human jobs, resulting in mass unemployment and impoverishment.

However, the impact of these new technologies on labour markets and income distribution is not predetermined...

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@x11 lol you tagged the wrong username but I did find my way here by coincidence... I'm very interested in machine learning and bioengineering. The way we will eventually go is to merge with the machines. I don't see how we wouldn't. We are a living breathing source of energy and we are just passing over the threshold of exponential knowledge regarding genetic engineering and prolonging human life to an extent we are unsure of what could come, if we were to discover a way to prevent the breakdown of DNA telomeres, or 3D print a new brain and download/upload your consciousness. Drugs could be virtual, you could use software to have complete control of how, say, your immune system functions, or if you want a nice hit of dopamine you press a button in an app. No one has a clue how to go about any of this safely and we've got multiple countries in a race to be the first to produce an intelligent weapon. I don't think our president, given his position of leadership, is competent in this specific subject, and I hope the people working for him that are involved in this are more competent than anyone in the world or we might be fucked in my fallible opinion.

McKinsey: One-third of US workers could be jobless by 2030 due to automation

As much as one-third of the United States workforce could be out of a job by 2030 thanks to automation, according to new research from McKinsey. The consulting firm now estimates that between 400 million and 800 million individuals globally could be displaced by automation and need to find new work.

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In Alphabet 2017 Founders' Letter, Google co-founder Sergey Brin celebrates AI as "most significant development in computing in my lifetime" and warns about "new questions and responsibilities" that come with it:

The Spring of HopeThe new spring in artificial intelligence is the most significant development in computing in my lifetime. When we started the company, neural networks were a forgotten footnote in computer science; a remnant of the AI winter of the 1980’s. Yet today, this broad brush of technology has found an astounding number of applications. We now use it to:

understand images in Google Photos;

enable Waymo cars to recognize and distinguish objects safely;

significantly improve sound and camera quality in our hardware;

understand and produce speech for Google Home;

translate over 100 languages in Google Translate;

caption over a billion videos in 10 languages on YouTube;

improve the efficiency of our data centers;

suggest short replies to emails;

help doctors diagnose diseases, such as diabetic retinopathy;

discover new planetary systems;

create better neural networks (AutoML);
... and much more.

Every month, there are stunning new applications and transformative new techniques. In this sense, we are truly in a technology renaissance, an exciting time where we can see applications across nearly every segment of modern society.

However, such powerful tools also bring with them new questions and responsibilities. How will they affect employment across different sectors? How can we understand what they are doing under the hood? What about measures of fairness? How might they manipulate people? Are they safe?​

According to reports, this first-time-use robot not only physically assaulted a living medic while attempting to conduct its programmed surgery, but also implanted stitches into the patient’s heart in a manner that physicians present during the fiasco described as notbeing in “an organised fashion.”

A situation that can only be described as total chaos, with human surgeons, doctors, and nurses having to scream at each other in order to overcome the “tinny” sound coming from the robot as they were trying to control it, the attempted surgery ended up being nothing short of a complete failure. And in the end, retired music teacher and conductor, Stephen Pettitt, the guinea pig patient in this medical experiment, ultimately lost his life.

Lead surgeon admits that he was ill-prepared to operate the surgical robot, having skipped multiple training sessions

During a hearing that followed this catastrophe, lead surgeon Sukumaran Nair admitted that he lacked proper experience in controlling and using the surgical robot, stating that he was “running before he could walk.” In other words, it was truly a case of medical negligence and malpractice on steroids.

As later revealed by the U.K.’s Daily Mail Online, Nair not only missed a critical training session in Paris that would have taught him how to properly use the surgical robot, but he also wasn’t present for another training sessions that later took place at his own hospital, claiming that he was busy with another surgery at the time.

While supervisory experts were supposed to have been present for this surgery-gone-wrong, which should have prevented this type of nightmare from ever even occurring, they, too, were reportedly missing when things started to hit the fan.

According to Thasee Pillay, Nair’s assisting surgeon, these overseeing proctors had apparently “gone to the coffee shop” right in the middle of the procedure, which prevented them from being able to take the reins once it became clear that Pettitt’s life was at risk from the surgical robot going rogue. Pillay also stated that he had no idea that these overseers were planning on not staying throughout the entirety of the surgery.

“I had no idea of their timescale and that they were not staying for the duration,” he’s quoted as saying.

“The proctors leaving was a crucial moment. The loss of that vital assistance was a major blow at a critical time.”​

At one point during the botched surgery, the surgical robot actually punctured Pettitt’s intra aortic septum, resulting in so much blood being splattered on its camera that doctors could no longer see what the robot was doing.

Nair stated during the follow-up hearing that he couldn’t effectively communicate with Pillay via the robot’s microphone system as this was happening because the sound was largely inaudible.

“We were not far apart, but Mr. Nair’s voice comes through a microphone and it is tinny,” he stated. “The acoustics were not very good.”

“There were times when I raised my voice. One was when the sutures were not being placed in an organised fashion and were criss-crossed.”​

After the surgical robot improperly installed the stitches, they had to be removed and replaced by the real-life doctors who were still present, extending the surgical time and further putting Pettitt’s life at risk.

Nair later admitted that he never even informed Pettitt that there was an increased risk of complications or death from this test procedure, which represents the first time that a surgical robot has ever been used to try to perform a mitral valve repair.

Theres talking ai to a certain extend, but unless we dont know how to recreate a brain 100%, well never be able to create a robot behaving and learning like it has a brain.
Also the lack of feelings, when to change mood etc will always be missing in robots.

The AI that exists though, is, what i saw once, drones that fly around in warzones and are able to recognize enemies faces, flying over and exploding ar their heads.
Thats just the beginning of AI in war, it can get way worse

Also the lack of feelings, when to change mood etc will always be missing in robots.

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A lot of humans, especially millennials, operate ONLY on feelings, and they change mood routinely based on non-existent events known as triggers. I find the lack of feeling in robots a compelling argument for replacing their deranged human counterparts in the workplace.

Unfortunately, for anything more complicated than a few repetitive tasks robots tend to fail miserably compared to even the dumbest humans. Their primary advantage is unwavering attention span, so they may eventually make efficient and reliable drivers. Considering the number of highway deaths every year, I won't feel bad for the human drivers being replaced. It's not like they can't see it coming far enough in advance to learn new skills.